What’s new
Ernesto Carrella
February 13, 2018
Indonesia - 1st slice
- 2 lengths
- 2 spots
- Market Incentive
Subsidies

Boxcar biology
- 100 length bins
- 1D Poseidon
- Can we regenerate data from the length-based assessment?
Data Target
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Model
- 10M recruits
- \[
\displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}}
\]
- Can our model output the same length-based histograms?
Aphaerus Rutilians

Lutjanus Erythropterus

Indonesia - 2nd slice
- 2 Boxcars Length
- 2 spots
- Market Incentive
Market Incentives

Link assumptions to histograms

Indonesia - 3rd slice
- 2 Boxcars Length
- 2 spots
- Gear Selection \[
\displaystyle \text{Selectivity}(l)= \frac{q}{1+e^{-\log_{10}(19)\frac{(l-a)}{b}}}
\]
- Market Incentive
No regulation

Add Policy

Overall Effect

Indonesia - 4th slice
- 2 Ports
- Departure Delays
- Port Switching
Switching

Switching (zoomed in)

Switching and histograms

Partial Subsidies

Missing Data - Boats
- Simple:
- Vessel capacity
- Diesel costs
- ex vessel prices
- number per port
- Behavioural
- Going out rule
- Going home rule
- Destination rule
- Ability to target
Allocating Fish
- Ideal allocation
- Isolate each trip-landing pair
- Find fishing events
- Associate catches with fishing pings
- Build a Spatial Model
- Pragmatic Allocation
- Pair fishers with landings
- Collect all fishing events per fisher
- Associate average catch per fisher with each of its pings
- Build Spatial Model
Output
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Clustering
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Clustering - 2
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Data Issues to be resolved
- Pings with no boats associated with them
- Boats with many landings but no pings
- Boats with many fishing pings but no landings associated with them